@@ -2811,6 +2811,48 @@ class ModelUtilsTest(TestCasePlus):
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text_output = tokenizer.decode(output[0].tolist())
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self.assertEqual(text_output, "Hello, my name is John. I'm a writer, and I'm a writer. I'm")
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@require_accelerate
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@require_torch_gpu
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def test_from_pretrained_disk_offload_task_model(self):
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model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-gpt2")
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device_map = {
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"transformer.wte": 0,
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"transformer.wpe": 0,
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"transformer.h.0": "cpu",
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"transformer.h.1": "cpu",
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"transformer.h.2": "cpu",
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"transformer.h.3": "disk",
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"transformer.h.4": "disk",
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"transformer.ln_f": 0,
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"lm_head": 0,
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}
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with tempfile.TemporaryDirectory() as tmp_dir:
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inputs = torch.tensor([[1, 2, 3]]).to(0)
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model.save_pretrained(tmp_dir)
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new_model = AutoModelForCausalLM.from_pretrained(tmp_dir).to(0)
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outputs1 = new_model.to(0)(inputs)
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offload_folder = os.path.join(tmp_dir, "offload")
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new_model_with_offload = AutoModelForCausalLM.from_pretrained(
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tmp_dir, device_map=device_map, offload_folder=offload_folder
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)
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outputs2 = new_model_with_offload(inputs)
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self.assertTrue(torch.allclose(outputs1.logits.cpu(), outputs2.logits.cpu()))
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# With state dict temp offload
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offload_folder = os.path.join(tmp_dir, "offload")
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new_model_with_offload = AutoModelForCausalLM.from_pretrained(
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tmp_dir,
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device_map=device_map,
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offload_folder=offload_folder,
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offload_state_dict=True,
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)
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outputs2 = new_model_with_offload(inputs)
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self.assertTrue(torch.allclose(outputs1.logits.cpu(), outputs2.logits.cpu()))
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def test_cached_files_are_used_when_internet_is_down(self):
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# A mock response for an HTTP head request to emulate server down
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response_mock = mock.Mock()
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||||
|
||||
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